Sqoop and Flume

Sqoop and Flume

Sqoop and Flume Udemy Course

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Sqoop and Flume Course Created by Gaurav Vyas.

Sqoop and Flume has 3.7 rating out of 5 based on 16 students. Currently this course has 566 students. Course langwage is English.

Sqoop and Flume Course Description

This is a detailed process for data collection in Hadoop. The first step in big data analysis. Learn how to use Hadoop's file system commands to move data in and out of HDFS. Then we'll move on and see how to transfer structured data in and out of HDFS and RDBMS, we'll see many use cases, and we'll provide live demos of each step. Then we'll go one step further and see how to collect log data using Apache Flume, then configure and create a data ingestion pipeline that pulls data from social networking websites like Twitter and ingests it into HDFS.

During class, I will code in front of you and explain everything more clearly by explaining everything at the same time.

This course is written with the assumption that students have no prior knowledge of Hadoop, so you do not need to know Hadoop to participate.

A little introduction to the sql command is nice, but once again it's not required because when you see a module dedicated to sqoop you will provide the command when you need it. If you are interested in SQL, you only need create table and select * from table for this process.

No Java or other programming language coding required for this course.

Gaurav Vyas has over 10 years of experience.

He works using both Scala and python APIs in Hadoop and its ecosystem technologies such as MapReduce, Apache Pig, Hive, Impala, Zookeeper, Spark. He also has very good experience working with NoSqls HBASE and MongoDB.

He has also used functional programming languages ​​such as R and Scala for various projects.

Sqoop and Flume Course for

  • software engineers
  • IT Professionals
  • Students
  • anyone who wants to learn Data Ingestion in Hadoop

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